echoloc

Innodata Inc. Tech Stack

Data engineering and annotation services for generative AI model training

Business Consulting and Services Ridgefield Park, New Jersey 5,001–10,000 employees Founded 1988 Public Company

Innodata is a public data engineering company built around AI model training—specifically, generating, labeling, and evaluating training datasets for LLMs and generative AI systems. The tech stack reflects this focus: Python + PyTorch + TensorFlow + Hugging Face for model work, paired with OpenAI API, Azure OpenAI, and Gemini for inference and evaluation. Hiring is heavily skewed toward data roles (96 of 160 open positions), with junior-level dominance, indicating a labor-intensive, scaling operation centered on dataset curation and annotation rather than platform or product engineering.

Tech Stack 166 technologies

What Innodata Inc. Is Building

Challenges

  • Improving ai model accuracy
  • Improving ai performance
  • Reducing bias in ai outputs
  • Large volumes of data
  • Ensuring cultural context accuracy
  • Ensuring annotation accuracy
  • Ai responses accuracy
  • Labeled data shortage
  • Operationalizing rl at scale
  • Accurate recruitment data

Active Projects

  • Cot q&a development
  • Llm training initiatives
  • Generating training data for llms
  • Prompt generation for llms
  • Llm evaluation and labeling
  • Content relevance evaluation
  • Content generation for ai training
  • Content review for ai response improvement
  • Coding question development
  • Ai training dataset development

Hiring Activity

Accelerating160 roles · 160 in 30d

Department

Data
96
Research
24
Engineering
19
HR
4
Ops
3
Support
3
Finance
2
Product
2

Seniority

Junior
69
Senior
48
Mid
37
Intern
4
Director
1
Manager
1
Company intelligence

Find more companies like Innodata Inc. by tech stack, pain points and active projects

Get started free

About Innodata Inc.

Innodata is a publicly traded (NASDAQ: INOD) data engineering company serving AI builders and enterprise adopters. Founded in 1988, the company has pivoted toward generative AI—providing data annotation, extraction, cleansing, and dataset generation services that feed LLM training pipelines. The work spans image and video annotation, prompt generation, LLM evaluation and labeling, and content review for AI response improvement. Operating at 5,001–10,000 employees globally, with hiring across 25+ countries, Innodata functions as a distributed labor platform optimizing for annotation accuracy, bias reduction, and dataset scale.

HeadquartersRidgefield Park, New Jersey
Company Size5,001–10,000 employees
Founded1988
Hiring MarketsUnited States, Iceland, Cambodia, North Macedonia, Greece, Albania, Philippines, China

Frequently Asked Questions

What is Innodata's tech stack?

Python, PyTorch, TensorFlow, Hugging Face, OpenAI API, Azure OpenAI, Gemini, LangChain, AWS, Azure, GCP, BigQuery, Dataflow, and BI tools (Looker, Tableau, Power BI).

What is Innodata working on?

LLM training dataset generation, prompt development, LLM evaluation and labeling, content review for AI response improvement, coding question development, and bias reduction in AI outputs.

How this profile is built

Innodata Inc.'s technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.